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FAILURE MODE SPECIFIC ANALYTICS USING PARAMETRIC MODELS

机译:使用参数模型进行故障模式特定分析

摘要

Techniques for predicting failure mode specific reliability characteristics of tangible equipment using parametric probability models are disclosed. In some example embodiments, a computer system receives a model training configuration entered via a user interface, trains a failure curve model for a selected failure mode of a selected equipment model based on the model training configuration at a time indicated by training schedule data, generating, and generates analytical data for the selected failure mode of the selected equipment model using the trained failure curve model. The failure mode corresponds to a specific way in which the equipment model is capable of failing. In some example embodiments, the training of the failure curve model comprises determining a shape parameter and a scale parameter for the failure curve model based on a fitting of failure event data to a continuous probability distribution, and storing the parameters for use in generating the analytical data.
机译:公开了用于预测使用参数概率模型的有形设备的故障模式的特定可靠性特性的技术。在一些示例实施例中,计算机系统接收经由用户界面输入的模型训练配置,在通过训练调度数据指示的时间内基于模型训练配置来列举所选择的设备模型的所选故障模式的故障曲线模型,生成,并使用培训的故障曲线模型生成所选设备模型的所选故障模式的分析数据。失败模式对应于设备模型能够失败的特定方式。在一些示例实施例中,故障曲线模型的训练包括基于故障事件数据的拟合来确定故障曲线模型的形状参数和比例参数,并将参数存储用于生成分析的参数数据。

著录项

  • 公开/公告号US2021240559A1

    专利类型

  • 公开/公告日2021-08-05

    原文格式PDF

  • 申请/专利权人 SAP SE;

    申请/专利号US202117235686

  • 发明设计人 RASHMI B. SHETTY;

    申请日2021-04-20

  • 分类号G06F11/07;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 20:20:38

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